Fei Dong

Disturbance suppression research in parallel dual permanent synchronous linear motors based on 2DOF PID controller

For dual linear motor cooperative control system, there is only one controlled input signal can be used. Each linear motor of the control system is independent. Therefore, the position loop of control system is easier to be disturbed. This paper presents a 2DOF PID controller to position loop for dual linear motor cooperative control system so that the two groups of parameters can be adjusted independently. The simulation result shows that the system has a strong robust and also has a good anti-disturbance performance and setting value tracking ability which has a good application prospects. The dynamic responsibility of dual linear motor cooperative control system based on two degrees of freedom (2DOF) PID controller is faster than traditional PID controller.

Position estimation in permanent magnet synchronous linear motor without position sensor

It is necessary to estimate the information of the accurate position and speed for the sensorless control of permanent magnet synchronous linear motor (PMSLM) drive system. This paper presents a novel digital sensorless control algorithm for PMSLM drives based on extended Kalman filter (EKF). The model of the PMSLM control system based on EKF in Simulink simulation environment is developed. The PI controller is used in current, speed and position loop which the feedback signal of position and speed is estimated by EKF algorithm. The simulation result shows that the EKF algorithm is effective to estimate the position and speed in a wide position range. The dynamic responsibility of the PMSLM without position sensor based on EKF is fast.

A novel multiple linear motor control system based on Nios II

A laser engraving machine is a kind of multi-axis CNC machine tool with no cutting force. In order to provide better feed motions in multi-axis, a novel multiple linear motor control system based on Nios II soft processors is introduced in this paper. Each Nios II soft processor controls a permanent magnet synchronous linear motor (PMSLM). The fuzzy two degree of freedom Proportional-Integral-Differential (PID) control algorithm based on Kalman filter written in C runs on the Nios II soft processors. Relative coupling-based multi-motor synchronous control algorithm for the PMSLM is introduced to provide high synchronization accuracy and strong robustness. Experimental results show that compared to conventional multiple linear motor control systems, control system based on Nios II soft processors provides a good synchronicity, higher efficiency and higher accuracy.

An Efficient Multi-Objective Design Optimization Method for PMSLM Based on Extreme Learning Machine

This paper focuses on the multiobjective design optimization of the permanent magnet synchronous linear motors (PMSLMs), which are applied to a high-precision laser engraving machine. A novel efficient multiobjective design optimization method for a PMSLM is proposed to achieve optimal performances as indicated by high average thrust, low thrust ripple, and low total harmonic distortion at different running speeds. First, based on the finite-element analysis (FEA) data, a regression machine learning algorithm, called an extreme learning machine (ELM), is introduced to solve the calculation modeling problem by mapping out the nonlinear and complex relationship between input structural factors and output motor performances. Comparative simulation experiments conducted using the traditional analytical modeling method and another machine learning modeling method, i.e., support vector machine, confirm the superiority of the ELM. Then, a new bionic intelligent optimization algorithm, called the gray wolf optimizer algorithm, is used to search the best optimization performances and structural parameters by performing iteration optimization calculation for multiobjective functions. Finally, FEA and prototype motor experiments prove the effectiveness and validity of the proposed method.

A new regression modeling method for PMSLM design optimization based on K-Nearest Neighbor Algorithm

This paper focuses on the rapid regression modeling research for the design optimization of Permanent magnet synchronous linear motors (PMSLM) which are applied in the linear motion machines. Based on the Finite Element Analysis (FEA), the initial PMSLM model is built and the modeling data of optimization are obtained. Then, the machine learning regression algorithm named K-Nearest Neighbor Algorithm (KNNA) is introduced to mapping the nonlinear relations of structure parameters and performances, and establishes the rapid calculation model for the next optimization. Finally, the superiority and reliability of this method is confirmed by the FEA experiments.

Current harmonic suppression in the flux-weakening control based on resonant-2DOF PID controllers for permanent magnet synchronous linear motor

In this paper, the current harmonic suppression problem of permanent magnet synchronous linear motor (PMSLM) in the flux-weakening control is studied by using the proposed resonant two degree of freedom (2DOF) current PID controllers. First, the principle of the flux-weakening is analyzed based on the mathematical model and the current voltage constraints of PMSLM in the rotating reference coordinate system. Then a current leading angle flux-weakening control method is designed, which provides a wide velocity operation of PMSLM over based velocity. Subsequently, the resonant-2DOF PID controllers are adopted to effectively suppress the current harmonics induced by the non-ideal factors in the flux-weakening control. At last, the simulation studies and experiments are performed for PMSLM based on the control platform in comparison with the traditional PID controller. The contrast results indicate that the proposed method suppresses the current harmonics effectively, and achieves optimal tracking ability and optimal antidisturbance performance simultaneously.

Disturbance rejection using direct thrust control in permanent magnet linear synchronous motor

This paper proposes a method that based on direct thrust control (DTC) to address the disturbance rejection problem in permanent magnet linear synchronous motor (PMLSM). In view of the PMLSM, direct torque control design is suitable for the DTC of linear motor control system. According to the rated load capacity of the motor, we give PMLSM a load disturbance. Then we obtain the motor dynamic characteristics which are analyzed from the simulation. Finally, the simulation results show that: the PMLSM control system that based on DTC has stronger robustness and better performance of disturbance rejection.